Thursday, July 9, 2020

Big Data Engineer Resume

Big Data Engineer Resume Big Data Engineer Resume Building an Impressive Data Engineer Resume Back Home Categories Online Courses Mock Interviews Webinars NEW Community Write for Us Categories Artificial Intelligence AI vs Machine Learning vs Deep LearningMachine Learning AlgorithmsArtificial Intelligence TutorialWhat is Deep LearningDeep Learning TutorialInstall TensorFlowDeep Learning with PythonBackpropagationTensorFlow TutorialConvolutional Neural Network TutorialVIEW ALL BI and Visualization What is TableauTableau TutorialTableau Interview QuestionsWhat is InformaticaInformatica Interview QuestionsPower BI TutorialPower BI Interview QuestionsOLTP vs OLAPQlikView TutorialAdvanced Excel Formulas TutorialVIEW ALL Big Data What is HadoopHadoop ArchitectureHadoop TutorialHadoop Interview QuestionsHadoop EcosystemData Science vs Big Data vs Data AnalyticsWhat is Big DataMapReduce TutorialPig TutorialSpark TutorialSpark Interview QuestionsBig Data TutorialHive TutorialVIEW ALL Blockchain Blockchain TutorialWhat is BlockchainHyperledger FabricWhat Is EthereumEthereum TutorialB lockchain ApplicationsSolidity TutorialBlockchain ProgrammingHow Blockchain WorksVIEW ALL Cloud Computing What is AWSAWS TutorialAWS CertificationAzure Interview QuestionsAzure TutorialWhat Is Cloud ComputingWhat Is SalesforceIoT TutorialSalesforce TutorialSalesforce Interview QuestionsVIEW ALL Cyber Security Cloud SecurityWhat is CryptographyNmap TutorialSQL Injection AttacksHow To Install Kali LinuxHow to become an Ethical Hacker?Footprinting in Ethical HackingNetwork Scanning for Ethical HackingARP SpoofingApplication SecurityVIEW ALL Data Science Python Pandas TutorialWhat is Machine LearningMachine Learning TutorialMachine Learning ProjectsMachine Learning Interview QuestionsWhat Is Data ScienceSAS TutorialR TutorialData Science ProjectsHow to become a data scientistData Science Interview QuestionsData Scientist SalaryVIEW ALL Data Warehousing and ETL What is Data WarehouseDimension Table in Data WarehousingData Warehousing Interview QuestionsData warehouse architectureTalend T utorialTalend ETL ToolTalend Interview QuestionsFact Table and its TypesInformatica TransformationsInformatica TutorialVIEW ALL Databases What is MySQLMySQL Data TypesSQL JoinsSQL Data TypesWhat is MongoDBMongoDB Interview QuestionsMySQL TutorialSQL Interview QuestionsSQL CommandsMySQL Interview QuestionsVIEW ALL DevOps What is DevOpsDevOps vs AgileDevOps ToolsDevOps TutorialHow To Become A DevOps EngineerDevOps Interview QuestionsWhat Is DockerDocker TutorialDocker Interview QuestionsWhat Is ChefWhat Is KubernetesKubernetes TutorialVIEW ALL Front End Web Development What is JavaScript â€" All You Need To Know About JavaScriptJavaScript TutorialJavaScript Interview QuestionsJavaScript FrameworksAngular TutorialAngular Interview QuestionsWhat is REST API?React TutorialReact vs AngularjQuery TutorialNode TutorialReact Interview QuestionsVIEW ALL Mobile Development Android TutorialAndroid Interview QuestionsAndroid ArchitectureAndroid SQLite DatabaseProgramming aria-current=page>Uncat egorizedBig Data Engineer Resume Building an Impressive Data Engineer Resume Last updated on May 22,2019 17.3K Views Shubham Sinha Shubham Sinha is a Big Data and Hadoop expert working as a... Shubham Sinha is a Big Data and Hadoop expert working as a Research Analyst at Edureka. He is keen to work with Big Data... Bookmark Become a Certified Professional A resume is a digital parchment which will set your first impression in front of your interviewer will be clearing the first round of screening for you. When it comes to elite job roles such as Big Data Engineer where the responsibilities expectations are high, the resume must be self-descriptive impressive. This blog on Big Data Engineer Resume will help you in building one.Experience skills are the most important part of your resume. Make sure it is aligned with the job requirements. If you are not clear about the required skills to become a Big Data Engineer, refer to this Big Data Engineer skills blog.The aptest way t o start building a Data Engineer resume is by looking at some real job responsibilities.Big Data Engineer Job DescriptionBig Data Engineer ResponsibilitiesWithout wasting any time, let us quickly go through some job descriptions whichwill help you understand the industry expectations from a Big Data Engineer. You can prepare yourself accordingly.Dell Big Data EngineeringEricsson Big Data EngineerWalmart Labs Data EngineerLet us conclude the responsibilities of a Big Data Engineer/ Data Engineer.Big Data Engineer Responsibilities:Designing, creating, testing and maintaining the complete data management processing systems.Working closely with the stakeholders solution architect.Ensuring architecture meets the business requirements.Building highly scalable, robust fault-tolerant systems.Taking care of the complete ETL process.Discovering data acquisitions opportunitiesFinding ways methods to find value out of existing data.Improving data quality, reliability efficiency of the in dividual components the complete system.Creating a complete solution by integrating a variety of programming languages tools together.Creating data models to reduce system complexities and hence increase efficiency reduce cost.Introducing new data management tools technologies into the existing system to make it more efficient.Setting achieving individual as well as the team goal.Advancing ahead, now we need to look at the skills that organizations demand to fulfill these job responsibilities.Required Big Data Engineer SkillsThe most judicious way to comprehend the required skills is by looking at the same job descriptions.Dell Big Data EngineeringEricsson Big Data EngineerWalmart Labs Data EngineerAbsolutely right! Now we are going to find out the important skills which will help us in resume building preparing for the interviews.Big Data Engineer Skills:Knowledge of Hadoop ecosystem and different frameworks inside it HDFS, YARN, MapReduce, Apache Pig, Hive, Flume, Sqoop, ZooKeeper, Oozie, Impala and KafkaReal-time processing Framework (Apache Spark)Database architecturesSQL-based technologies (e.g. MySQL/ Oracle DB)NoSQL technologies (e.g. Cassandra and MongoDB)Programming Languages: Python/R/JavaETL/Data warehousing Solutions(Talend, Informatica)Knowledge of different Operating System UNIX, Linux, Solaris or MS WindowsKnowledge of SOA, Graph Database, CI/CD Pipeline, monitoring alert would be a plus point.Apart from these technical skills you also need to mention your interpersonal skills such as strong communication skills, leadership skills, managerial skills, problem-solving skills, etc. which would prove your competency.To gain in-depth knowledge about the skills required to become a Big Data Engineer, go through thisBig Data Engineer skills blog.Now let us focus on the important points which we should keep in mind while building any resume.Resume BuildingResume is your first impression in front of an interviewer. It is the first most cruci al step towards your goal. There are two ways in which you can build your resume:Chronological: This is the traditional way of building a resume where you mention your experience in the manner it took place. This type of resume is preferred in conservative fields.Functional: This is a whole new approach where you mention your most relevant experience based on the required skills. Here your recruiter doesnt have to go through the whole resume to find out the required skills. This is a more focused and concise way of portraying yourself in front of an interviewer.There are some key point to be kept in mind while building your resume.The first thing which you need to keep in mind is, your resume should be consistent, concise clear in terms of formatting the message that you are trying to convey.Keep your resume updated. Building or updating your resume is really tiresome, but the more time you invest in building one, the higher are the chances of you getting selected. Recruiter recei ves hundreds of resumes for a single job, and your resume is the one which will be clearing the first round for you.For someone, less than 8 years of experience should have a single page resume. You should at most carry a two pages resume. After two pages the resume becomes lengthy and the interviewer becomes uninterested in reading it.Try to make a functional resume if you have 2+ years of experience, where you only put the relevant experience rather than flooding it with everything. Give priorities to those skills which are required for that particular job. Its always better to build a custom resume for each every job.List the activities mentioning your role in that activity. This is where you showcase your interpersonal skills such as leadership, team player etc. Also, list the awards that you have achieved to prove your potential in different fields.Your hobbies play an important role in breaking the ice with the interviewer. This section also shows that you are an all-rounder with various skills hobbies.Now let us move to the most awaited part of this Big Data Engineer Resume blog.Big Data Engineer ResumeNow talking specifically about Big Data Engineer Resume, apart from your name personal details, the first section should be your work experience.Work ExperienceYou should always start with the relevant work experience which will quickly draw the attention your recruiter. It should state the responsibilities which you have taken your learnings from them in a very concise, crisp and clear manner.You can divide your experience in the following parts:DesignationName of the OrganisationDuration of EmploymentJob responsibilities in briefYour learning or experience from that jobSample:EXPERIENCE: DATA ENGINEER Bank of AmericaJuly 2015 Present Worked as a Big Data Engineer in the Risk Management Team where the Bank wanted to store, process manage the huge amount of data in day to day operations collected from various sources. The system majorly checks th e credibility of the customer looks for the credit risks. Collaborated with various team management to understand the requirement design the complete system Implemented the complete Big data pipeline with real-time processing Worked with Cloudera 5.11.x and its different components Used Spark 2.1.x API to stream data from various sources in real-time Developed Spark code in Scala using Spark SQL Data Frames for aggregation Worked with Sqoop to ingest retrieve data from various RDBMS like Oracle DB MySQL Created schema in Hive with performance optimization using bucketing partitioning Worked rigorously with Impala 2.8.x for executing ad-hoc queries Written Hive queries to transform data for further downstream processing Created Oozie workflow jobs for scheduling queries actions Involved in the end to end deployment processSenior Software Engineer Tata Consultancy ServicesJune 2013 July 2015 - -Java Developer DeloitteNov 2010 July 2013 - -There are some key factors in the above resume which will not only give you a stronger hand but will also impress your employer.Try to mention the versions of software frameworks.Looking at the job description you can tweak your experience likewise mention those tools skills which are required by the organization.The Big Data Engineer job experience is more relevant, so I have elaborated the first part. While writing about my Java Developer Sr. Software Engineer jobs, I will only include those skills which seem necessary for Big Data Engineer Role.You need to understand that there are a plethora of tools for a single purpose and you cant master all of them. So, my advice would be, instead of just mentioning the tools or frameworks name, add a small description about your knowledge involvement with the tool. This would also help the interviewer to figure out that if you dont have the experience with the exact same tool, you have that experience with another tool.Technical SkillsAfter the Job Experience, I would recommend you to create a Technical skill section where you can make a list your technical skills. You can put all the skills that you think is required for the Big Data Engineer job role, or the skills with which you are confident.Sample:TECHNICAL SKILLS: CDH, HDFS, SPARK, Hive, Impala, Sqoop, Map Reduce, Oozie, Putty, Netezza, YARN, Python, R, Talend, Informatica, Power BI, Hibernate, RHEL, UNIX, Windows, Agile Methodology, MongoDB, Cassandra, HBase, MySQL, Oracle DB, SOA, CI/CD.Achievements HobbiesAfter this,the next section should be Achievements Hobbies. Try not to mention too many achievements or hobbies, as it could distract your interviewer he/she might miss the important ones. Mention few which is relevant with which you are confident.You can go ahead download the sample Big Data Engineer resume from here.I hope this Big Data Engineer Resume blog has helped you in figuring out how to build an attractive effective resume. In our upcoming blog on Big Data Engineer sala ry, we will be discussing different factors that affect the salary of a Big Data Engineer. 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